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Adobe is pouring more AI into its products, including Photoshop, Premiere, Illustrator, and InDesign, in a major product feature announcement at its MAX event in Miami. The company is also expanding AI capabilities in its creative tool, Firefly, and releasing a Model Context Protocol (MCP) that lets other chatbots like ChatGPT, Claude, or Gemini use Adobe features. Adobe’s Firefly app is moving into Figma’s territory with a new prototyping tool in private beta called Builder, which lets users create designs to show off ideas. There is also a new tool to create on-brand graphs, along with an image-editing tool that lets you change part of an image without changing other objects. A new AI-powered video tool in Firefly will allow users to assemble a video from clips and other elements like images and sound effects. The company is making its agent proactive and always on so that it can get more context about work and be present for any action. Adobe is also making it easier for people to take quick action, like removing the background or generating a thumbnail for a video. The company has already added a ton of AI features across its apps like Photoshop, Express,Premiere, and Illustrator. At the MAX event, Adobe is continuing the trend. Photoshop is getting a new relighting feature and sliders for prompt-based generative styles; Premiere will have a new color grading system for professionals and an object removal feature for video; and Lightroom has a way to correct blinking eyes and a blemish removal tool. Adobe already offers a lot of third-party models from companies like Google, Runway, ElevenLabs, Black Forest Labs, OpenAI, Kling, and ByteDance.One of its newer acquisitions, Topaz Labs, is releasing two image models, called Wonder 4 for upscaling and denoising, and ImageHDR, to turn standard images into HDR. The company already has ChatGPT and Claude integrations to let users access some of its product functions. Now, Adobe is releasing a local MCP to expose more features of its Creative Cloud apps to users. Adobe vice president Deepa Subramaniam told TechCrunch that the company is still figuring out what capabilities to expose and will rely on user feedback. “We are still figuring out where and when and how to draw the line. What we’re putting out there is a number of endpoints and capabilities across Illustrator, Photoshop, After Effects, and Premiere. We’re just going to see how people use it, what they’re trying to do, and keep showing more. We don’t have any need or desire to sort of limit what the MCP endpoint can expose. What we really want to do is to support that creative workflow, how you choose to do it,” said Subramaniam. Last month, Adobe rival Figma co-founder Dylan Field said at an event in India thatMCP is not a perfect standard and benefits frontier labs more.
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Meta is bringing its Muse AI agent to the Apple Watch and Android’s Wear OS, the companyannouncedon Monday. With the launch, users can now interact with Meta’s AI assistant through voice calls, text messages, or dictation directly on their smartwatch. Works around the clock, and now on your wrist. Muse is now on Apple Watch and Wear OS ⌚️pic.twitter.com/97QRap5XKz The smartwatch launch comes just a month after Meta introduced a dedicatediPad appfor Muse. First launched on the App Store in September, the AI assistant’s expansion across Apple devices signals Meta’s growing ambitions for its consumer AI product and its focus on making Muse a central part of its ecosystem. Muse is now one of dozens of consumer-facing AI agents competing for users’ attention. Like many of its competitors, it allows users to connect their accounts to manage email, meetings, bills, and more, while also handling tasks such as booking reservations, ordering groceries, setting goals, and making purchases. Users can also personalize their Muse avatar to their liking and change it into something that resembles a person, an animal, or another type of character. Despite being a relatively new product, Meta has wasted little time introducing new capabilities to Muse. A few days ago, Meta launchedSpaces, a new way to communicate and collaborate with Muse. Spaces function as dedicated conversations around specific topics, which Meta describes as “custom experiences” as they’re mini apps that are built on the fly. They appear in the sidebar of the Muse interface and bring up a focused conversation where the AI agent works toward a particular goal on the user’s behalf. Last week, Meta rolled out the ability for users in the U.S. tovideo chatwith their Muse AI avatar. Meta said Muse will use “subtle expressions and gestures” that reflect the tone and context of the conversation as it speaks. It’s worth noting that Muse doesn’t actually see users, but can hear them and respond in real time. Shortly after its launch, Muse became one of just 12 mobile apps to havesurpassed 10 million U.S. downloadswithin their first 40 days in the App Store. Only 11 other apps have achieved this milestone, with Meta’s Threads being the most recent in July 2023.
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Google is notching up its chipmaking game as the company seeks to reduce its dependence on chips made by other companies for its cloud computing business. Google on Mondayunveiledtwo new variants of its tensor processing units (TPUs), in-house-developed chips meant for AI workloads, that broaden its chip portfolio to additional use cases: confidential inference and more memory capacity for large workloads. The new units, TPU 8tx and TPU 8i Max, are part of the company’s eighth generation of chipsintroducedin April this year, and build on what those chips offered, which was more inference capacity and support for large training requirements. TPU 8tx, designed with AMD, is based on the TPU 8t chip, and is geared specifically for confidentially training and running AI models, Google said in a blog post. The chip “builds security directly into the hardware layer, keeping sensitive data and model weights protected and isolated even while in active use,” the company wrote. The chip also has a custom inferencing network that lets it run reasoning alongside training, so it can be used to distill and train small models on the fly. That ability, according to Google, could prove useful for cases where a company might want to train a model on its proprietary data without having to move the data between devices. Meanwhile, TPU 8i Max basically combines two of the inference-focused TPU 8i chips the company launched in April, doubling the memory capacity, processing power and bandwidth, but in a single package. The result is a chip that lets AI models handle a larger range of information during queries. The chip launch comes as hyperscalers likeMicrosoft,Amazon, and even AI labs likeOpenAIandAnthropicare working on their own lines of AI-specific semiconductors andaccompanying softwarein order to reduce their reliance on the dominance of Nvidia. The news also comes at a particularly vulnerable moment for Nvidia, whose CEO Jensen Huang over the weekendadmittedtohaving an affairwith someone alleged to be a Chinese spy.
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Nvidia co-founder CEO Jensen Huang has never been as flashy or controversy-prone as AI leaders like OpenAI’s Sam Altman or SpaceXAI’s Elon Musk. Now, the 63-year-old industry kingpin has admitted that hecheated on his wifeof 40 years in an affair that could have ramifications beyond Huang’s personal life and potentially impact national security. United States officials believe that Huang’s likely romantic interest, Megaspeed executive Alice Huang, isa Chinese spywho has been feeding information back to Beijing. (Alice Huang, a Chinese citizen, is of no relation to Jensen Huang.) Megaspeed, a Singapore-based AI infrastructure company, had reportedlypurchased$4.8 billion in Nvidia chips over the last two years. The U.S. and Singapore have both previously investigated Megaspeed over suspicions that the firm was illegally sharing chips with China. The U.S. and China are embroiled in a fierce technological arms race to build the most advanced AI infrastructure, which could shape each country’s economic future, military prowess, and capacity for innovation. Nvidia is valuable in this competition as one of the world’s largest makers of AI chips, which are essential for accelerating AI development. But as an American company, Nvidia faces government restrictions on the sale of its most powerful chips to Chinese entities. As the controversy unfolds, we are organizing the most relevant events into a reverse-chronological timeline to keep you up to date. The Nvidia CEO pulled out ofupcoming speaking engagementsat the ElevenLabs Summit and Anthropic CEO Forum. Alice Huang and her family reportedly built a network of companies in China and Singapore to acquire Nvidia chips, including founding a Chinese company called Shanghai Century Litong. Founded in 2023, it became an Nvidia-preferred cloud partner, giving it priority access to chips,The Information reported. The Information also reported that Shanghai Century Litong facilitated buying $7.5 billion worth of Nvidia’s chips, including banned chips. Nvidia’s head lawyer, Tim Teter, intervened in a 2025 U.S. government probe surrounding the suspected smuggling of AI chips by Megaspeed International,Bloomberg reported. Teter contacted Commerce Under Secretary Jeffrey Kessler asking questions about whether the Trump administration played a role in detaining Alice Huang. In early 2025, Alice Huang and a business partner sought China-based investors for an Asian data center, promising they had no problem in securing GPUs,the Financial Times reported. On Sunday night, President Trumpweighed inon Huang’s controversy and showed support for the Nvidia CEO. “I have not spoken to him about it. I just know he’s a fine person, but you never know what’s going on,” Trump said. When asked if Huangshould remain chief of Nvidia, Trump said, “I think so. Oh yeah, sure.” Jensen Huang wrote in aletterto Nvidia employees — which was also published as a press release — that he cheated on his wife. “I owe my family and all of you an apology,” Huang told his company. “I was unfaithful to my wife. My actions hurt her and our children. There is no excuse for what I did. I am deeply sorry.” Huang did not mention Alice Huang by name in the message, but linked his infidelity to “the national security concerns raised in news reports.” “Nvidia’s Board of Directors has initiated an independent investigation. I support the investigation and will cooperate fully. I love our country and our company. I am committed to protecting Nvidia and supporting America’s national security. I am proud and grateful to be an American,” Huang wrote. Nvidia shares slidover 5%the following day. Three Republican congressmen — Chairman John Moolenaar of the House Select Committee on China, Chairman Brian Mast of the House Foreign Affairs Committee, and Chairman Rick Crawford of the House Permanent Select Committee on Intelligence — sent a request to Huang for a closed-door joint briefing with their three committees. “Recent reports raise significant national security concerns regarding the [People’s Republic of China]’s access to sensitive U.S. technology and information,” the chairmenwrote. “The issue of PRC infiltration and access to cutting-edge U.S. technology is core to the investigative work of our three committees this Congress. It is vital that Congress determines the extent to which U.S. national security has been placed at risk.” U.S. officials had been investigating Alice Huang and Megaspeed for more than a year whenthe New York Timesbroke the story in late October that the two executives also had a close relationship. An Nvidia spokesperson denied that this relationship was something out of the ordinary. “Jensen’s interactions with Ms. Huang are not unusual or unexpected. Meetings with customers are part of a CEO’s job; Jensen talks with thousands of customer executives every year,” Nvidia spokesperson John Rizzo said. He added that “if the U.S. government believes that any person is a threat to American industry, it would let us know.” U.S. officials circulated a secret memo among policymakers that warned that Megaspeed’s Alice Huang, who had a relationship with Jensen Huang, was a spy for China’s Ministry of State Security. This memo was not public knowledge until it was laterreportedby the New York Times. Secretary of State Marco Rubiosupervisedthe drafting of the memo. Around the same time, per the New York Times’report, U.S. President Donald Trump was briefed about intelligence findings that possible Chinese spy Alice Huang had formed a close relationship with Jensen Huang. Trump did not act on this information. The Nvidia CEO, anally of Trump, hasrepeatedly advocatedfor the U.S. government to let Nvidia expand its business in China. Megaspeed wasconfirmedto be under investigation by both the U.S. and Singaporean governments in October 2025. As a customer of Nvidia, Megaspeed wassuspectedof helping Chinese companies get around American embargoes on chip exports. Megaspeed, a neocloud that used Nvidia chips, had been renting computing power to Chinese internet giant Alibaba and other Chinese companies, the Times reported. A Commerce Department official who had visited Megaspeed’s data center in Malaysia in 2024 had found a hoard of Nvidia equipment that was still packed in boxes and the concern was that this equipment was being directly shipped somewhere else, like China, rather than installed and sold as a cloud service. Jensen Huang had been spotted socializing with Megaspeed executive Alice Huang as early as 2024 in Taiwan, where the Nvidia CEO was born. These investigations into Megaspeed highlighted concerns about the degree to which Nvidia is able to track its chip exports. At the time, an Nvidia spokesperson told press that the company did not have “any reason to believe products had been diverted.” “NVIDIA visited multiple Megaspeed sites yet again earlier this week and confirmed what we previously observed — Megaspeed is running a small commercial cloud, like many other companies throughout the world, as allowed by U.S. export control rules,” the Nvidia spokespersonsaidat the time.
Anthropic announced new workplace features on Tuesday, including Claude Meetings, which brings Claude into video calls to begin working on tasks while participants are still talking. The company also unveiled Claude Whiteboards and Claude Sheets. The launch of Anthropic’s new productivity-focused features comes just a few weeks afterOpenAI unveiled a series of workplace toolsthat allow users to collaborate with ChatGPT to do things like visualize company information and create presentations, as both companies compete to turn their products into office suites of sorts to take on Microsoft and Google. Meta is also joining the competition with its Muse AI agent, which canbuild mini-apps on the flyto help users complete specific tasks. With Claude Meetings, teams can add Claude to a video call as a visible participant. Claude then follows the conversation and gets to work on tasks in real time. As participants talk, it can draft the plan being discussed, map out a timeline on a whiteboard, answer questions in the meeting chat, and access connected work apps to retrieve information, such as last year’s figures. After the call, the meeting notes, action items, and other materials Claude created are available in claude.ai. The work that comes out of a meeting usually starts after everyone hangs up, but with this new feature, teams can turn discussions into actions in real time, Anthropic says. Claude identifies itself as a meeting participant and posts a notice in the meeting chat. It won’t join calls with external guests unless authorized by an admin, and will automatically leave if an external guest joins. Claude Meetings is launching in beta on Team and Enterprise plans. At launch, it works with Google Meet, with support for additional plans expected to follow. As for Claude Whiteboards, Anthropic describes the feature as a collaborative board where teams can talk through a plan and have Claude turn it into an organized visual workspace with timelines and deadlines. The company notes that many people already brainstorm with Claude, but that in order to share their results with others, they would have to copy-paste them somewhere else. Now, a team can work directly with Claude on the same board in real time. When the brainstorm is done, Claude can turn the board into a doc or a slide deck. Additionally, Whiteboards also work inside Claude Meetings, so the board builds while people talk, Anthropic says. Claude Whiteboards is available in beta on paid plans, on web, desktop, and mobile. The company also launched Claude Sheets, which lets teams create and collaboratively edit spreadsheets with Claude. A team can ask it to build a campaign tracker or hiring budget, and Claude will then generate a working spreadsheet. Anthropic says Claude handles the initial setup of trackers and budgets, while allowing teams to continue refining and updating the same spreadsheet. Each spreadsheet can include multiple tabs, formulas, formatting, and dropdown menus. Claude also makes edits directly in cells alongside the team, and outlines each change so users can see what it did. Claude Sheets is available in beta on paid plans, on web, desktop and mobile. Anthropic also announced that Claude Data, formerly known as Claude Dashboards, is now generally available. The feature connects Claude to systems that companies use to keep their numbers, like a data warehouse or CRM. Users can ask questions, and Claude responds with dashboards, written data stories, or narrated videos. Additionally, the company announced interactive connectors that open the full version of apps like Adobe, Atlassian, and HubSpot inside Claude. Anthropic notes that teams can now open these apps directly alongside their Claude conversations and ask the assistant to work within them, essentially bringing existing workflows into the same workspace.
In an effort to make ChatGPT an even better consumer discovery engine, OpenAI is launching a host of new features designed to help companies control how users interact with their businesses. On Tuesday, the company rolled out a Business Hub that will serve as a place where companies can create business profiles that — in a feature that greatly resembles thekind of profilesthat Google and other search engines already offer — allow enterprises to verify and update information about their products and services. The feature is currently in beta. Eligible companies will also be able to create and launch a specialized business agent, which gives ChatGPT users the ability to ask questions about the business and its products. “As people turn to AI to discover products, compare options and make decisions, ChatGPT has become the platform for people and businesses to connect through AI,” the company said on Tuesday. “Today’s announcement is an early step in bringing businesses more deeply into ChatGPT.” In a move that calls to mindGoogle Analytics, the Business Hub will also give users access to limited business insights. These insights will reveal how ChatGPT users interact with their products — including profile views, business mentions, website clicks, and other metrics. Businesses will have to verify their profiles through a formal process, although the company did not share specifics of what that process would entail. Benji Shomair, OpenAI’s VP of Monetization, told journalists on Monday that there are “multiple verification methods that we use for different types of business in different markets.” OpenAI previously tried to position ChatGPT as an e-commerce hub by which users could buy products directly. This effort — which used a commission fee system — was viewed as a potentially huge source of revenue and a way to make ChatGPT a more direct Amazon competitor. However, that project ultimately failed to take off and, in March, the companyretired the effort, which had even included a “checkout cart” feature. With the integration of business profiles and intelligence, ChatGPT seems to be attempting to become more like Google, which — since the advent of the internet — has been the place where web users go to understand the companies they want to shop at. It remains to be seen whether this initiative will bear better results than the one that sought to make ChatGPT a direct e-commerce hub.
David Turturean, a recent MIT graduate and a member of the technical staff at the startup labPhysical Superintelligence (PSI), used early access to Anthropic’s Fable 5.2 model to solvean 18-year-old problemabout quantum computing. “I’m totally accepting the idea that this might be the last paper I ever put out,” Turturean, who deferred plans to pursue a master’s at MIT’s prestigious computer science and AI lab to join PSI, told TechCrunch. “In a few months, like, why would you even put out a paper?” The problem in question, the Aaronson-Ambainis conjecture, concerns the ability of quantum computers to solve problems faster than classical ones. Scott Aaronson, one of the two researchers who posed the problem,writesthat he doesn’t quite understand the proof but that he believes it’s correct because it was autoformalized in Lean, a coding language for math, andexplainedby a team of top researchers with whom PSI shared the solution. The solution appears to close the door on one avenue quantum computers could follow to solve certain difficult problems at high speed, but not all of them. “It’s a negative result that allows people to know, okay, we’re no longer looking there,” Turturean said. More broadly, it reflects the upheaval in the scientific world caused by AI problem-solving. “A proof of full [Aaronson-Ambainis conjecture] was one of the last remaining open problems in quantum query complexity that everyone seemed to agree was centrally important,” Aaronson, who described himself feeling satisfied, awestruck, disappointed, and fatigued by the news, wrote. “I was surprised, honestly, to see it missing from OpenAI’s Mathocalypse dump a few weeks ago. Surely they tried it, so was it really so much harder than all the problems that were solved?” That’s a point in favor of PSI’s model, which is to solve scientific problems with specialized model harnesses and scaffolding. “An effective kind of research system should have lots of things related to harnesses, lots related to tools, memory systems, simulation infrastructure,” PSI CEO Matt Pines told TechCrunch. “You want to be able to really go after a problem at breadth and depth, and be able to consider a wide range of potential alternatives.” For now, the company’s revenue comes from using its tools to optimize data centers, simulating the variables of heat, power, water, sound — “where the performance of that site as well as its impact on the community are a direct function of its physics.” The long play, however, is converting theoretical physics breakthroughs into actual technologies. “Six to nine months ago, when I was talking to investors, like I had to sort of stretch to validate that conditional, right? Like, ‘no, no, no, trust me, pretty soon, theoretical physics is going to be mostly the domain of machines,’” Pines said. “And it’s not there yet, but it’s on its way.” Still, while AI has claimed important solutions in fields like mathematics and computer science where it’s possible to express them in validated code, doing so in less abstracted disciplines like the life sciences or physics has proven more difficult. Last week, the startup Discovered Materials released a $1 million grand challenge for researchers using AI to understand problems like superconductivity and heat dissipation. “At the end of the day, physics is different than math because it’s the real world … nature gets a vote in your models of reality,” Pines said. He said the startup is focused on understanding how to take computational results and validate them with experiments in the most efficient way possible. “If it’s a true fact of nature, that’s a trick that you can exploit,” Pines said. “You could build a device out of it, right? The AI suggests an idea; it allows you to do something in the world you weren’t able to do before … and so each of those are kind of loops that PSI is building.” As “neolabs for science” become a pathway for potentially groundbreaking science, the participants are still figuring out what the standards are for this new world. Because PSI had to hold its result until Anthropic’s model was nearly ready for release, they were able to share it with relevant researchers to better understand it. “As an academic, we wanted to play our role in doing things the right way,” Jim Halverson, a professor at Northeastern University who advises PSI, said. He’ll be attending a summit at MIT next week where leading physicists will try to hash out a response to the new pace of science. “Best practices are still emerging … We figured that transparency is a good way to go, and contacting experts is a good way to go.” “We had some time to sit on it … and it was the first time that I actually took one of my AI-elicited solutions on print, and I read through it, and I was like, okay, how can I make this … be presented more naturally for a human?” Turturean, who said the academic community will expect him to be able to explain the result, told TechCrunch. “And I think it also made me realize, oh my God, the weight of what AI can do.”
Ouraannouncedon Tuesday that it’s acquiring AI-native primary care company Counsel Health for $625 million. The deal comes a few weeks after Ourapostponeditsup to $2.2 billion IPOindefinitely, citing “uncertainty in the IPO market.” Counsel Health is an AI-powered healthcare platform that combines a chat-based medical experience with access to licensed physicians. Its service was integrated into the Oura app in June. Users can connect with Counsel’s medical AI to get personalized medical advice, and chat with a physician when needed, all within the Oura app. Now, the companies plan to expand on their existing partnership to build across preventative care, acute care, and specialty and chronic care. While Oura has largely dominated the smart ring market for years, rivals like RingConn and Ultrahuman are emerging to dethrone it, putting pressure on the company to keep innovating. By acquiring Counsel Health, Oura is looking to expand its business and help users access medical care. “Oura helps members understand their physiology and, with Counsel, they can take action on their health across a range of needs, from quick questions and prescriptions to lab results, chronic care, and referrals,” said Oura CEO Tom Hale in apress release. Counsel Health raiseda $25 million Series Aa year ago, led by Andreessen Horowitz (a16z) and GV. PitchBook estimates it had raised a total of $36 million. Following the acquisition, Oura says Counsel will continue serving existing and new enterprise partners, with the goal of expanding its AI-native care model to more people beyond Oura’s membership. Counsel CEO Muthu Alagappan will join Oura as chief clinical AI officer, alongside the company’s 70 employees,Bloombergreports. “At Counsel, we’ve built medical AI around trust, safety and responsibility, keeping physicians in the loop for clinical decisions,” Alagappan said in the press release. “Oura’s data gives clinicians objective context, trended biometrics, and member engagement to deliver more informed care. From the start, our teams bonded over a joint vision, shared culture, and mission, further solidifying as we negotiated our deal over the past few months.” The deal is expected to close before the end of 2027. Oura also announced that its revenue grew 153% year-over-year to $533 million for the quarter ended on September 30. For its fiscal year 2026, Oura generated revenue of approximately $1.75 billion, marking 92% year-over-year growth. The company reached an$11 billion valuationfollowing a $900 million late-stage funding round in October 2025.
As Anthropic barrels toward an enormous IPO that could value it at$1.4 trillion,the company has disclosed a tidbit in its new S-1 filing about how many shares each of its seven co-founders plan to sell. Each will sell 3,378,378 shares. Anthropic has floated an unusually broad initial price range of $70 to $78 a share. At the midrange of $74, each founder would take in just shy of $250 million. At the low end, $70, each would have to settle for pocketing just over $236 million in cash; at the high end, $78, each would take in just under $264 million. However, in an IPO as eagerly anticipated as this one, companies can often price shares above the initial range. The S-1 is already hinting at high demand. Board member Reed Hastings has indicated he wants to buy $300 million worth of shares through his donor-advised fund. Board member Christopher Liddell also wants to buy $3 million worth of shares. The seven co-founders are Dario Amodei, CEO; Daniela Amodei, president and chair of the board; Tom Brown, chief compute officer; Jack Clark, head of public benefit; Jared Kaplan, chief science officer (pictured above); Sam McCandlish, chief architect; and Christopher Olah, interpretability research lead. After the sale, each of them will own about 3.2% of the total outstanding Class A shares, the S-1 says, or roughly 22% collectively. That’s not their share of the company overall. Class A is just one of Anthropic’s share classes, and other holders, including Amazon and Google, hold nonvoting Class N shares, so the founders’ stake in the company’s total equity will be considerably smaller. Even still, they, as a group, remain in control of the company. Each will also receive one share of Class F stock, which carries supervoting rights. Collectively, the founders will control 51.1% of the votes, but no single founder will hold significantly more shares or votes than the others. As is now industry lore, the seven left OpenAI to start Anthropic in 2021 after disagreements with OpenAI’s leadership over how AI should be built. Siblings Dario and Daniela Amodei, who held senior research and policy roles at OpenAI, were joined by five fellow OpenAI colleagues in forming a company that has said, very publicly and from the start, that it’s more focused on AI safety than its rivals, including the founders’ former employer.
New York is gearing up to enforce one of the country’s most significant AI safety laws. The state opened a registration portal Tuesday, with which large frontier AI developers like Anthropic and OpenAI will be required to register by January 1, 2027. The RAISE Act, New York’s safety and transparency bill, kicks in at the start of the year. It mandates that large frontier developers — companies with more than $500 million in annual revenue — have to publish safety frameworks on their websites, report critical safety incidents within 72 hours, and issue public model transparency reports. The newly formed Office of Digital Innovation, Governance, Integrity, and Trust (DIGIT) will implement the RAISE Act and oversee large frontier AI labs. Penalties can be as high as $1 million for one violation and $3 million for subsequent violations. The state can bring also enforcement actions against companies that fail to register with the new portal, though a spokesperson declined to provide specifics. “Tech moguls tell us that their vision for AI is inevitable,” Governor Kathy Hochul said Tuesday during a press briefing. “They tell us get on board or get left behind …That any collateral damage is worth it as long as we win the race to the AI cliff.” On Tuesday, Hochul also launched the New York Center for AI Responsibility and Research based at State University of New York’s Binghamton University. The center will independently evaluate the safety, security, and operation of advanced AI systems and work with DIGIT to review companies’ safety frameworks. Hochul first announced the center in January with $55 million in donations and capital. “We’re building a national model for smart, sensible AI regulation, a model that puts communities above corporations and people above powerful technology,” Hochul said. The RAISE Act isn’t the only safety law New York has passed. Last year, the state began enforcinga law that requires AI companionoperators to regularly let users know they’re talking to a bot, and to make reasonable efforts to detect suicidal ideation and self-harm. In October, Hochul signed aseparate chatbot safety lawfor minors, restricting behaviors like deceptive human-like interactions, emotionally manipulative or sycophantic responses, and encouragement of behaviors like suicide or disordered eating. That law takes effect June 1, 2027. Other states have also passed similar AI safety and transparency bills to the RAISE Act. California’s SB 53, which took effect in January, mandates that frontier AI labs have in place and publish safety frameworks, enact whistleblower protections, and report critical safety incidents within 15 days. Illinois’s SB 315, which will go into effect at the start of 2027, has similar requirements, plus includes independent safety compliance audits.
TPU 8tx is built for confidential AI inference, allowing enterprises and governments to process sensitive data.
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The US president believes NVIDIA CEO Jensen Huang didn’t have any knowledge of being targeted by Chinese intelligence.
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